open-feature / open-feature/spec

Experimentation support: standardized context fields and experiment grouping

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enhancement
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Python
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Description

Context

At KubeCon EU 2026, we held an in-person discussion on experimentation support in OpenFeature (recap). Two related gaps were identified around how the SDK and spec support experimentation use cases.

Problem

1. Standardized context fields

Today, the evaluation context only defines targetingKey as a well-known field. For experimentation, analytics systems need consistent metadata to segment users, things like browser, geo, device type, session ID, etc. Without standard field names, every provider and analytics integration ends up defining their own conventions, making interoperability harder.

This is similar to how OpenTelemetry defines semantic conventions for well-known attributes. We should consider defining a set of well-known evaluation context keys for common experimentation use cases.

2. Experiment grouping

Several participants described production models where experimentation is a separate concept from feature flags, with a 1-to-N mapping between experiments and flags. A single experiment can control multiple flags that share targeting (e.g. a treatment group gets a specific combination of foreground color + background color).

There's currently no standard way in OpenFeature to:

  • Associate a flag with an experiment ID
  • Group multiple flags under shared targeting
  • Indicate that a flag's experiment assignment may change over time

Flag metadata could carry experiment associations, but this isn't standardized.

Questions

  • Should we define well-known context keys in the spec, or as a separate "conventions" document?
  • Is experiment grouping something the SDK API needs to be aware of, or is flag metadata sufficient?
  • How do we avoid over-specifying while still enabling interoperability across providers?

Related

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the OpenFeature specification sections covering evaluation context and flag metadata, then review related issue #276 and the linked OpenTelemetry semantic conventions work. The issue currently poses design questions rather than naming files, tests, or an implementation boundary; a decision on scope and placement is needed before completion can be defined.

Written by the indexing model from the issue text.

Assessment

Domain
backend-api-design
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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